Theoriq AI: AI Agent Collectives | Crypto x AI Event
Episode publishedPodcast: The Delphi PodcastThe Delphi Podcast
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Before we get started, we'd like to thank our sponsors for making this event possible. Special thanks to our platinum sponsor, Olas. Olas enables everyone to own a share of AI, specifically autonomous agent economies. We're also excited to highlight our silver sponsors, NEA, empowering decentralized applications and blockchain ecosystems. Venice AI, a private and uncensored alternative to popular AI apps. MIRROR, unified AI infrastructure secured by crypto. And Therick, the first on chain multi agent system. To learn more about all of our sponsors, check the description below and dive in. Enjo
Hi, everyone. Welcome to our fireside chat with Ron Bodkin, founder of Theric AI. Hey, Ron. How's it going? It's
great. Thanks. How are you, Luke? I'm
doing good. Thank you. So you're the founder of Theoric, which is an AI agent base layer. But before we get into that, prior to Theoric, keeping working in big data for a long time. So could you summarize your your background for listeners' context?
Yeah. I mean, I've been an entrepreneur and working in AI for much of my career. You know, I was cofounder of Seabridge, b to b Internet startup that we went public. Then I got really involved in AI starting at Quantcast, where I led engineering and research. It was it's an ad tech firm, you know, used AI models to build look alikes, generate multi $100,000,000 business, went on to start Think Big Analytics to help enterprises with big data and AI, sold that to Teradata, where I ended up leading, AI product efforts. Then I went to the Google Cloud CTO office where I was responsible for applied
sure. Like I said, there's none
more, you know, to our AI agent based layer. For
sure. And I guess there's none more big and monopolistic than than Google. Right? And you were you were there, which I'm interested in because I have very little insight to how big companies are are structured. And you said at Google, you were responsible for applied AI at the CTO office, and, I have no idea what that means. What what could you, like, elaborate on what you were you were doing now?
Yeah. So I was working closely with product teams that were building AI products and large customers who were, early customers to work with them. Did a lot of work, for example, with different large retailers. I mean, obviously, Google Cloud had a lot of big retailers working closely with it. You know, they recognized that Amazon was a a mortal threat to them and didn't wanna be working on Amazon Web Services. So, you know, they were excited by how could Google bring its AI and data to really build great products. You know, things like ecommerce search was a big initiative leveraging a lot of
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